Investigation of aerodynamics education based on the waverider parameterized design procedure

In order to understand the numerical analysis of the thermal storage and release performance of mechanical heat storage materials, the author proposes a study on the numerical analysis of the thermal storage and release performance of mechanical heat storage materials based on 2-D thermal conductivity differential equations. The author first studied the phenomenon of iron resistance in the sleeve on the overall heat storage performance of the magnesium brick, and made two conclusions about the number of magnets in the sleeve brick. Second, ANSYS is used to model the exothermic process of mechanical heat storage, analyze the temperature distribution, flow field distribution, heat transfer coefficient of heat storage under different conditions, and compare the experimental results. Finally, the experiment shows that the addition of the sleeve does not affect the overall heat storage performance of the magnetic brick, which can extend the service life of the resistance metal and provides some support for the expansion of the use of the heat storage material of the magnetic brick. By using the numerical calculation method to calculate the error, it can be seen that the error between the numerical simulation and experimental results is less than 16, and the experimental results are consistent with the experimental results. The ability to store and release heat of a heat storage facility depends largely on its size structure, and the heat storage and release ability of a small heat storage facility is better than that of a large heat storage facility. For heat storage materials with high thermal conductivity, their heat transfer coefficient will increase with increasing temperature, but the increase is not significant. For thermal accumulators with low thermal conductivity, their heat transfer coefficient will decrease with increasing temperature.

Numerical analysis of thermal storage and release performance of mechanical thermal storage based on 2-D thermal conductivity differential equation

2024

Energy saving system for building cooling and heating integration based on building information modelling technology

Shen

2024

In order to understand the energy-saving system of building cooling and heating integration, the author proposes a research on an energy-saving system of building cooling and heating integration based on building information modelling (BIM) technology. The author first analyzed the energy-saving performance of the system by establishing models for each module based on meteorological data simulated on the DeST software platform. Secondly, in order to analyze the energy consumption of the integrated system, it is necessary to establish a residential building model, and select the building model in the cold winter and hot summer areas of a city for analysis. The results show that due to the system?s heat storage function, there is no need to consume electricity in spring and autumn. Compared to the electric heating hot water mode, the integrated system can save 1198.85 kWh of electricity in non-cooling and heating seasons, with a 100% energy-saving rate. Compared to not using an integrated system, it can achieve an energy-saving rate of 81.9% throughout the entire refrigeration and heating season, with significant energy-saving effects. The integrated heating, cooling and hot water system of BIM technology adopts the technology of cool storage and heat storage coupled with solar energy and heat pump technology. The system has simple structure, obvious energy-saving effect, good environmental protection, and can adapt to various climates throughout the year. The introduction of underfloor heating also increases the comfort of buildings and residences.

Multi-objective particle swarm optimization algorithm for data acquisition and system characteristics research of phase change thermal storage heat pump water heaters

Cheng,

Yang

2024

In order to understand the multi-objective particle swarm optimization algorithm for data collection and system characteristics research of heat pump water heaters, the author proposes a multi-objective particle swarm optimization algorithm for data collection and system characteristics research of phase change thermal storage heat pump water heaters. The author first introduced the working principle of the phase change heat storage heat pump water heater, and then conducted a comparative experimental study on the performance of two types of heat pump water heater systems using pure paraffin phase change heat storage and water storage. They compared and analyzed the heat storage process, condensation heat recovery rate of the heat storage box, and comprehensive energy efficiency coefficient of the system under the refrigeration and heat recovery mode of the two types of heat pump water heater systems, on this basis, measures were proposed to improve the performance of pure paraffin phase change thermal storage hot water systems. At long last, the examination of exploratory information shows that the Rx of the water warm capacity framework is around 6% higher than that of the stage change warm capacity framework, and the framework COPt is likewise 20% higher than that of the stage change warm capacity framework, from this, it tends to be seen that the stage change heat capacity box has unfortunate intensity move proficiency, prompting a lessening in the presentation of the intensity siphon water radiator framework. Contrasted and customary water stockpiling heat siphon boiling water frameworks, unadulterated paraffin stage change capacity heat siphon high temp water frameworks lessen the volume of the intensity stockpiling tank, and the framework works somewhat flawlessly during the intensity stockpiling process. However, the system?s overall energy efficiency is impacted by the heat storage tank?s poor heat exchange effect and relatively low condensation heat recovery rate. The intensity move of the intensity stockpiling box can be upgraded by finning the winding curls in the intensity stockpiling box, embedding aluminum foil, adding extended graphite, and different measures to further develop the buildup heat recuperation rate, subsequently working on the general execution of the framework.